Early clinical and quality impacts of the Age-Friendly Health System in a Veterans Affairs skilled nursing facility.

BACKGROUND: Skilled nursing facilities (SNFs) are an ideal setting to implement the Age-Friendly Health System (AFHS) approach, an initiative by the Institute for Healthcare Improvement (IHI) centered on the 4Ms: what matters, mobility, mentation, and medication. AFHS implementation has not been well studied in SNFs. METHODS: A 112-bed VA SNF implemented a facility-wide AFHS initiative including the following: (1) participating in a national IHI Age-Friendly Action Community; (2) establishing an AFHS workgroup centered on the 4Ms; (3) identifying meaningful clinical tools and frameworks for capturing each M; and (4) developing sustainment methods. Clinical (life-sustaining treatment, falls, disruptive behaviors, and medication deprescribing) and quality outcomes (rehospitalization, emergency department utilization, and discharge to the community) in addition to patient satisfaction were compared pre- and post-AFHS implementation (bed days of care [BDOC] 17413) to post-implementation (BDOC 20880). RESULTS: Clinical outcomes demonstrated improvements in the 4Ms, including: (1) what matters: 14% increase in life-sustaining treatment documentation (82%-96%; p < 0.01); (2) mobility: reduction in fall rate by 34% (8.15 falls/1000 BDOC to 5.41; p < 0.01); (3) mentation: decrease in disruptive behavior reporting system (DBRS) by 62% (5.11 DBRS/1000 BDOC to 1.96; p = 0.04); (4) medications: 53% increase in average potentially inappropriate medications (PIMs) deprescribing (0.38-0.80 interventions/patient; p < 0.01). Quality outcomes improved including rehospitalization (25.6%-17.9%) and emergency department utilization (5.3%-2.8%) within 30 days of admission. Patient satisfaction scores improved from a mean of 77.2 (n = 31, scale 1-100) to 81.3 (n = 42). CONCLUSIONS: Implementation of the AFHS initiative in a SNF was associated with improved clinical and quality outcomes and patient satisfaction. We describe here a sustainable, interprofessional approach to implementing the AFHS in a SNF.

My life, my story: Teaching patient centered care competencies for older adults through life story work.

We implemented "My Life, My Story" as an educational activity for enhancing patient-centered care (PCC) competencies across health professions trainees. Four hundred and eighty-two stories were completed for patients (M age = 72.5, SD = 12.7) primarily in inpatient medical settings, by trainees from seven disciplines. Trainees spent approximately 2 hours on the assignment; 84% felt this was a good use of their time. A mixed method survey evaluated the effectiveness of the activity on enhancing PCC competencies using open ended questions and ratings on the Consultation and Relational Empathy (CARE) Measure adapted for this project. The assignment most influenced trainees' ability to understand the patient as a "whole person" along with other PCC competencies such as showing empathy, really listening, building knowledge of values and goals, and building relationships. In addition, trainees perceived the activity enhanced patient care and was a positive contrast to usual care.

Improving Medication Reconciliation with Comprehensive Evaluation at a Veterans Affairs Skilled Nursing Facility.

BACKGROUND: Unintentional medication discrepancies due to inadequate medication reconciliation pose a threat to patient safety. Skilled nursing facilities (SNFs) are an important care setting where patients are vulnerable to unintentional medication discrepancies due to increased medical complexity and care transitions. This study describes a quality improvement (QI) approach to improve medication reconciliation in an SNF setting as part of the Multi-Center Medication Reconciliation Quality Improvement Study 2 (MARQUIS2). METHODS: This study was conducted at a 112-bed US Department of Veterans Affairs SNF. The researchers used several QI methods, including data benchmarking, stakeholder surveys, process mapping, and a Healthcare Failure Mode and Effect Analysis (HFMEA) to complete comprehensive baseline assessments. RESULTS: Baseline assessments revealed that medication reconciliation processes were error-prone, with high rates of medication discrepancies. Provider surveys and process mapping revealed extremely labor-intensive and highly complex processes lacking standardization. Factors contributing were polypharmacy, limited resources, electronic health record limitations, and patient exposure to multiple care transitions. HFMEA enabled a methodical approach to identify and address challenges. The team validated the best possible medication history (BPMH) process for hospital settings as outlined by MARQUIS2 for the SNF setting and found it necessary to use additional medication lists to account for multiple care transitions. CONCLUSION: SNFs represent a critical setting for medication reconciliation efforts due to challenges completing the reconciliation process and the concomitant high risk of adverse drug events in this population. Initial baseline assessments effectively identified existing problems and can be used to guide targeted interventions.

Addressing the Shortage of Physician Assistants in Medicine Clerkship Sites.

Addressing the shortage of clerkship sites, the VA Boston Healthcare System developed a physician assistant training program in a postacute health care setting.

Improving Access to Care by Admission Process Redesign in a Veterans Affairs Skilled Nursing Facility.

BACKGROUND: Inefficient and inadequate nursing home screening processes can delay care transitions from hospitals to post-acute care facilities and result in inappropriate and delayed transfers. The increased volume of admission requests and need for efficient and effective transfers between care settings converged to make the Community Living Center (CLC; skilled nursing facility in the Department of Veterans Affairs) admission screening process an organizational priority for improvement. A quality improvement (QI) project was conducted to develop a new process for a 112-bed CLC and improve efficiency and access to care. METHODS: The Model for Improvement was used to complete a 13-month continuous QI project. The multidisciplinary QI Workgroup developed aims and measures, analyzed work flow processes, and identified problem areas. Interventions were rapidly tested using Plan-Do-Study-Act cycles. Successful interventions were sustained by developing standard operating procedures and local policy. RESULTS: Several interventions were implemented that focused on standardization, automation, and streamlining. The final result was a new hybrid model that included an Admissions Team consisting of a unit nurse manager, a social worker, and administrative staff. The time from bed request to patient transfer improved from a median of 3.3 days in the baseline period to 2.3 days in the final month of the project. CONCLUSION: A highly structured and team-based QI approach enabled rapid redesign of an admission screening process that improved efficiency and decreased the time from request to admission. This redesign strategy provides instruction for other facilities interested in improving screening processes and access to care.

Improved Transitional Care Through an Innovative Hospitalist Model: Expanding Clinician Practice From Acute to Subacute Care.

Hospitalist physician rotations between acute inpatient hospitals and subacute care facilities with dedicated time in each environment may foster quality improvement and educational opportunities.

Monitoring quality control: can we get better data?

Quality control is important in many fields, especially industrial production. Major research has been developed with regard to industrial quality control to ensure reliable and consistent products. We adapt and develop methodology in quality control to monitor data collection in epidemiologic studies. There are no procedures currently used by epidemiologists to evaluate quality control during the actual process of data collection; methods are implemented only after the data have been collected. We focus on procedures that can be used during data collection: instrument calibration and population sampling. For the first, we propose methods utilizing Shewhart control charts and Westgard stopping rules. For evaluating population sampling, we present methods utilizing regression analysis. We provide a motivating example to highlight the utility of these methods. The proposed methodology may help investigators to identify data quality problems that can be corrected while data are still being collected, and also to identify biases in data collection that might be adjusted later.

Youden Index and optimal cut-point estimated from observations affected by a lower limit of detection.

The receiver operating characteristic (ROC) curve is used to evaluate a biomarker's ability for classifying disease status. The Youden Index (J), the maximum potential effectiveness of a biomarker, is a common summary measure of the ROC curve. In biomarker development, levels may be unquantifiable below a limit of detection (LOD) and missing from the overall dataset. Disregarding these observations may negatively bias the ROC curve and thus J. Several correction methods have been suggested for mean estimation and testing; however, little has been written about the ROC curve or its summary measures. We adapt non-parametric (empirical) and semi-parametric (ROC-GLM [generalized linear model]) methods and propose parametric methods (maximum likelihood (ML)) to estimate J and the optimal cut-point (c *) for a biomarker affected by a LOD. We develop unbiased estimators of J and c * via ML for normally and gamma distributed biomarkers. Alpha level confidence intervals are proposed using delta and bootstrap methods for the ML, semi-parametric, and non-parametric approaches respectively. Simulation studies are conducted over a range of distributional scenarios and sample sizes evaluating estimators' bias, root-mean square error, and coverage probability; the average bias was less than one percent for ML and GLM methods across scenarios and decreases with increased sample size. An example using polychlorinated biphenyl levels to classify women with and without endometriosis illustrates the potential benefits of these methods. We address the limitations and usefulness of each method in order to give researchers guidance in constructing appropriate estimates of biomarkers' true discriminating capabilities.

Evidence of absence or absence of evidence? A reanalysis of the effects of low-dose aspirin in in vitro fertilization.

OBJECTIVE: To assess the conflicting evidence whether low-dose aspirin is beneficial in IVF and to evaluate the meta-analysis performed by Gelbaya et al. and reported in March 2007 in Human Reproduction Update, in which they found no effects of low-dose aspirin and recommended discontinuing its use in IVF. We present a reanalysis of the effects of low-dose aspirin in IVF and raise methodological questions regarding the analysis by Gelbaya et al. DESIGN: A meta-analysis of prospective randomized trials evaluating the effects of low-dose aspirin in IVF. PATIENT(S): Women undergoing IVF/intracytoplasmic sperm injection. INTERVENTION(S): Low-dose acetylsalicylic acid (aspirin). MAIN OUTCOME MEASURE(S): Pregnancy rates, implantation rates, miscarriage rates. RESULT(S): Ten randomized clinical trials were included in the analysis. Clinical pregnancy rate per ET was significant when low-dose aspirin was compared with no treatment (risk ratio 1.15, 95% confidence interval 1.03-1.27). Nonsignificant estimates comparing low-dose aspirin with no treatment were found for implantation and miscarriage rates. CONCLUSION(S): Our results suggest that aspirin may increase clinical pregnancy rates and that more data are needed to resolve the issue. At this point, there is no reason to change clinical management and discontinue the use of aspirin.